• Journal of the Korea society of information convergence
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• v.7 no.1
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• pp.25-46
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• 2014

After examining the current situations of financial frauds and the reasons for their occurrence in the financial institutions through examples of financial frauds in domestic and abroad, this study presents ways to prevent such financial scams. The preventive measures consist of activities before and after the occurrence of financial frauds and during normal financial operations. The activities are as follows: 1. Preventive activity should be strengthened before the occurrence of financial frauds. That is, first, the enforcement of consistent internal control is needed. Second, in order to block the probability of financial frauds involved with employees, ethics education and a reward program for inside tippers need to be run. Third, financial institutions need to apply for comprehensive insurance policy to minimize the lost in case. 2. Preventive activity should be strengthened during normal financial operations. First, self authentication system for customers needs to be introduced. Second, dealings of day, week, and month need to be thoroughly checked and the system of audit needs to be expanded. Third, message service for the information on financial frauds and their preventive measures needs to be expanded. Fourth, public notification system against examples of financial frauds needs to be expanded. 3. Preventive activity after the occurrence of financial frauds should be strengthened. First, awareness for preventive measures such as imposing penalty on the manager needs to be enhanced. Second, strict restrictions on financial frauders such as a criminal charge needs to be strengthened. Third, there should be legal devices and resolutions in order to retrieve all the money deceived by financial frauds.

• Journal of the Korean Geographical Society
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• v.28 no.4
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• pp.321-355
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• 1993

This paper focuses on the geographical pattern of financial activities in the Korean urban system during 1975-1990, based on the assumption that financial activities can reveal control points in Korea's urban economy. In terms of spatial evolution of financial insitutions, different locational characteristics are revealed among different types of financial institutions, implying the role of urban hierarchy. Financial resources are highly concentrated in the capital region, Seoul and Kyonggi Province. Both centralization trends into the large metropolitan cities and relative declines of medium and small cities within the Korean urban system, have been experienced over the study period. Financial activities sustain relatively stable hierarchical structure in the urban hierarchy. Regarding the financial flows, dominant flow zones centered on major metropolitan cities are identified, clearly showing a prominant role of Seoul in financial flows in the entire urban system.

• Convergence Security Journal
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• v.21 no.1
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• pp.101-106
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• 2021

To protect financial information, financial companies establish strategies and plans for information security, operate information security management systems, establish and operate information security systems, check vulnerabilities, and secure information. This paper aims to present an information security portal system for financial companies that can gain visibility into various information security activities being undertaken by financial companies and can be integrated and managed. The information security portal system systemizes the activities of the information security department, providing an integrated environment for information security activities to participate from CEOs to executives and employees, not just from the information security department. Through this, it can also be used as information security governance that can be used by top executives to reflect information security in corporate management.

• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.27-31
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• 2019

정부는 2018.2.8일 국정현안점검조정회의를 통해 국무조정실, 금융위원회, 기획재정부, 고용노동부, 중소벤처기업부 등 관계부처 합동으로 "사회적금융 활성화 방안"을 최종 확정하였다. 한국의 사회적금융은 보조 기부행위가 아닌 투자 융자 보증 등 회수를 전제로 사회적기업, 협동조합, 자활기업, 마을기업 등 사회적경제기업에게 다양한 자금을 지원하는 금융활동 전반을 말한다. 현재 민간의 자발적인 금융지원활동도 일부 있으나, 정부 공공재원 중심으로 기존의 서민금융진흥원의 사회적기업 신용대출, 중진공의 정책자금 대출, 신보 지신보 특례보증, 사회적기업 모태펀드 등 중기 서민 정책금융체계내의 사업이 대다수를 차지하고 있는 실정이다. 한국의 사회적금융은 미국과 일본, 영국 등의 선진국에 비하면 이제 태동기로서, 사회적경제기업은 자금 공급부족, 제도 금융권에서의 소외 등 자금조달에 큰 애로를 겪고 있다. 따라서, 공공부문 주도로 자금공급을 확대하고 있으나, 사회적경제기업의 자금수요에는 아직도 크게 미치지 못하는 상황이다. 특히, 지원방식이 짧은 만기, 대출 보증에 편중되는 등 사회적경제의 특수성에 대한 고려가 미흡하여 수요-공급 간 미스매치도 큰 상황과 자금수요자와 투자자를 이어주는 사회적금융 중개기관, 사회적성과 평가 등 시장 인프라도 전반적으로 크게 미비 되어 있어 민간의 참여를 제약하는 것도 그 이유이다. 본 연구에서는 한국의 시회적금융지원제도의 전반적인 현장의 실태를 중심으로 실무적인 측면에서 분석 및 향후과제를 도출하여 관계기관 등에 정책적인 시사점을 제공하고자 한다.

• Proceedings of the KGS Conference
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• 2004.05a
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• pp.72-72
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• 2004

최근 수십 년 간 인류의 삶 전체에 획기적인 변화를 가져온 정보통신 기술의 발달은 금융정보화의 급속한 진전을 가져왔다. 이는 금융업무의 전산화는 물론이고, CD/ATM기(이하 자동화기기)ㆍ전화ㆍ인터넷 핸드폰 등 다양한 매체를 이용한 금융서비스 채널의 등장을 통해 나타난다. 금융서비스의 제공이 과거 점포 위주의 단일 채널에서 탈피하여 다양해 가는 것은 단순히 금융시스템상의 변화를 넘어 금융활동의 기반이 되는 공간에도 중요한 영향을 미치게 된다. (중략)

• Journal of Korea Port Economic Association
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• v.30 no.3
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• pp.187-207
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• 2014

The purpose of this paper is to examine the business performance difference based on the ownership structure type in the aspect of profitability and stability. In order to conduct this analysis in two aspects, the ship financial institutions have been classified into two groups: state-owned banks and private-owned banks. First of all, the difference of ROE and ROA between private and public ship financial institutions is statistically significant, but no difference has been shown in terms of stability measured through BIS capital adequacy ratio. Second, to test the business performance difference according to the ownership structure types before and after the global financial crisis, we examined the outcome difference in the ship financial institutions in terms of profitability and stability. However, in the event that the analysis was conducted with public and private financial institutions, the business outcome difference before and after the global financial crisis has been shown in the sector of private financial institutions, but has not been shown in the sector of public financial institutions. It is meaningful that this study is the first work which examined the difference of the operating performance by the ownership structure types of ship financial institutions. However, it is noted that small sample for this empirical study is a limitation of this thesis.

• Digital Contents
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• no.1 s.140
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• pp.24-25
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• 2005

지난해 9월에 발족된 데이터품질관리포럼이 창립 3개월여만에 국내 주요 금융사와 공공기관을 아우르는 모임으로 발돋움했다. 특히 KT, 우리 금융, 신한 은행등과 같은 국내 굴지의 기업들이 포럼에 적극 참여해 활발히 활동하면서 관련 업계의 큰 관심을 끌고 있다. 데이터 품질관리 포럼 이정우 회장(연세대 교수)을 만나 포럼의 활동 목표의 운영 방향에 대해 들어 봤다. 다음은 이정우 회장과의 일문 일답

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.403-416
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• 2020

Unlike in the past, the environment related to CSR activities of financial services companies changed, such as lower interest rates, easier access to knowledge and the environment for risk management of financial services companies changed, including global economic instability, increased regulations, and exposure of new technologies associated with operating methods. This study examined the effects of CSR activities and risk management on sustainability and mediating effects of corporate image among financial service companies. The result of the study are as follows. First, the CSR's legal responsibilities, management in disaster risk and strategic risks of financial service enterprise have positive effect on sustainability, however, the management of CSR's ethical responsibilities, discretionary responsibilities, operational and financial risks have shown to have negative effect Second, CSR's legal responsibilities, discretionary responsibilities and the management of disaster risks act as mediating role between corporate image and sustainability. As a result, when financial service enterprises concentrate on managing CSR's Legal responsibilities and disaster risks, it was found that the corporate image improves and enhancement of sustainability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.77-82
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• 2020

As Korea enters an aging age, social efforts to improve the IADL of the elderly are increasing. In this study, to improve the performance of financial management activities that the elderly is particularly burdened, we aim to learn the elderly through ATM simulation education contents so that they can use ATM smoothly. To this end, interviews were conducted with seniors to derive four major financial activities (deposits, withdrawals, deposit inquiries and bank account arrangements), and developed tablet PC-based ATM education contents identical to the existing bank ATM interfaces. The experiment was conducted on 20 elderly people in the Elderly Day Care Center, and their satisfaction, fatigue and performance were measured before and after education. The results of this study can provide ATM design guidelines for the elderly who have difficulty using ATM.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.